Centralized and Decentralized Process and Sensor Fault Monitoring Using Data Fusion Based on Adaptive Extended Kalman Filter Algorithm

A Fast Fixed-Point Algorithm for Independent Component Analysis

Hyvärinen, A., & Erkki Oja, A. (1997) · Neural Computation · doi:10.1162/neco.1997.9.7.1483 · Cited by 3,373 · see citing works

Stochastic models, estimation, and control

(1982) · Mathematics in Science and Engineering/Mathematics in science and engineering · doi:10.1016/s0076-5392(08)x6186-7 · Cited by 3,230 · see citing works

Process fault detection based on modeling and estimation methods—A survey

Isermann, R. (1984) · Automatica · doi:10.1016/0005-1098(84)90098-0 · Cited by 2,369 · see citing works

A survey of design methods for failure detection in dynamic systems

Willsky, A. S. (1976) · Automatica · doi:10.1016/0005-1098(76)90041-8 · Cited by 2,153 · see citing works

Process modeling, simulation, and control for chemical engineers

(1990) · Choice Reviews Online · doi:10.5860/choice.28-0313 · Cited by 1,182 · see citing works

Fault Tree Analysis, Methods, and Applications ߝ A Review

Lee, W. S., Grosh, D. L., Tillman, F. A., & Lie, C. H. (1985) · IEEE Transactions on Reliability · doi:10.1109/tr.1985.5222114 · Cited by 680 · see citing works

Comparison of two measurement fusion methods for Kalman-filter-based multisensor data fusion

Gan, J. Q., & Harris, C. J. (2001) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/7.913685 · Cited by 504 · see citing works

Fault Detection and Diagnosis in Chemical and Petrochemical Processes

Nelson, L. S. (1979) · Journal of Quality Technology · doi:10.1080/00224065.1979.11980901 · Cited by 321 · see citing works

Fault detection and diagnosis in chemical and petrochemical processes

Himmelblau, D. M. (1978) · Elsevier eBooks · Cited by 283 · see citing works

A rule‐based approach to fault diagnosis using the signed directed graph

Kramer, M. A. M., & Palowitch, B. L. (1987) · AIChE Journal · doi:10.1002/aic.690330703 · Cited by 267 · see citing works

Process Fault Detection Based on Modeling and Estimation Methods

Isermann, R. (1982) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)62959-8 · Cited by 131 · see citing works

A self-learning fault diagnosis system based on reinforcement learning

Hsu, Y. Y., & Yu, C. C. (1992) · Industrial & Engineering Chemistry Research · doi:10.1021/ie00008a015 · Cited by 17 · see citing works

Fuzzy strategy for failure detection and safety control of complex processes

Vaija, P., Турунен, И., Järveläinen, M., et al. (1985) · Microelectronics Reliability · doi:10.1016/0026-2714(85)90024-1 · Cited by 14 · see citing works

Fault diagnosis approach based on the integration of qualitative model and quantitative knowledge of signed directed graph

Cao, W.-L., Wang, B., Ma, L., et al. (2005) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2005.1527319 · Cited by 8 · see citing works

Process fault detection and diagnosis in CSTR system using on-line approximator

Sawattanakit, N., & Jaovisidha, V. (2002) · doi:10.1109/apccas.1998.743929 · Cited by 7 · see citing works

Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey

Raouf, I., Khan, A., Khalid, S., Sohail, M., Azad, M. M., & Kim, H. S. (2022) · Mathematics · doi:10.3390/math10183233 · Cited by 41 · see citing works

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

Nahian, S. A., Dinh, T. Q., Dao, H. V., & Ahn, K. K. (2020) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2020.3013609 · Cited by 29 · see citing works

Adaptive Sensor Fault Detection and Isolation using Unscented Kalman Filter for Vehicle Positioning

Mori, D., Sugiura, H., & Hattori, Y. (2019) · 2019 IEEE Intelligent Transportation Systems Conference (ITSC) · doi:10.1109/itsc.2019.8917208 · Cited by 23 · see citing works

DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION

Mustafa, N. H., Kelesbayev, D., & Alibekova, Z. D. (2018) · The Journal of Economic Research & Business Administration · doi:10.26577/be-2018-2-2141

A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives

Hassan, A., Bazzi, A. M., & Jensen, F. (2022) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce50734.2022.9947433 · Cited by 4 · see citing works

State Estimation and Fault Detection for Nonlinear Dynamic Systems

Lu, B., Yan, L., Chen, H., et al. (2018) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2018.8483892

Fuzzy Kalman Filter Based Simultaneous State and Fault Parameter Estimation Scheme with an Application to a Continuous Stirred Tank Reactor

Janarthanan, K., & Prakash, J. (2006) · IEEE India Conference · doi:10.1109/indcon.2006.302754

Robust fault detection via unknown input observer based on cubature Kalman filter

Zarei, J., & Shokri, E. (2013) · Iranian Conference on Electrical Engineering · doi:10.1109/iraniancee.2013.6599586 · Cited by 3 · see citing works